Triple
T20165751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricoh 2C02 PPU |
E491820
|
entity |
| Predicate | scanlinesPerFrame |
P138928
|
FINISHED |
| Object | 262 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 262 | Statement: [Ricoh 2C02 PPU, scanlinesPerFrame, 262]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scanlinesPerFrame Context triple: [Ricoh 2C02 PPU, scanlinesPerFrame, 262]
-
A.
maxSpritesPerScanline
Indicates the maximum number of sprites that can be rendered or processed on a single horizontal scanline during drawing or display.
-
B.
fieldsPerFrame
Indicates the number of discrete fields that compose each video frame in an interlaced video signal.
-
C.
commonFrameRate
Indicates that two or more media items share the same frame rate.
-
D.
frameDuration
Indicates the length of time that a single frame in a sequence (such as video or animation) is displayed before advancing to the next frame.
-
E.
originalFrameRate
Indicates the frame rate at which the original media content was captured or encoded before any conversion or processing.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e668442d2c81908bb1a0fac9895b5e |
completed | April 20, 2026, 5:54 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56700b1a08190ace53cf95827d72d |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:35 p.m.